Jun Zhu

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Hang SuAssociated Professor, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
Yinpeng DongTsinghua UniversityPatvirtintas el. paštas mails.tsinghua.edu.cn
Tianyu PangResearch Scientist, Sea AI LabPatvirtintas el. paštas sea.com
Chongxuan LiAssociate Professor (tenure track), Renmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Jianfei ChenAssociate Professor, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UPatvirtintas el. paštas cs.cmu.edu
Ning ChenAssistant Researcher, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Xiaolin HuAssociate Professor of Computer Science and Technology, Tsinghua UniversityPatvirtintas el. paštas tsinghua.edu.cn
Zhijie DengAssistant Professor, Shanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Ji-Rong WenRenmin University of ChinaPatvirtintas el. paštas ruc.edu.cn
Shixia LiuProfessor, Tsinghua University, IEEE FellowPatvirtintas el. paštas tsinghua.edu.cn
Jiaxin ShiResearch Scientist, Google DeepMindPatvirtintas el. paštas google.com
Wei-Ying MaTsinghua UniversityPatvirtintas el. paštas air.tsinghua.edu.cn
Chang LiuMicrosoft Research AI4SciencePatvirtintas el. paštas microsoft.com
Amr AhmedSenior Staff Research Scientist, Google AIPatvirtintas el. paštas google.com

Stebėti

Jun Zhu

Professor of Computer Science, Tsinghua University

Patvirtintas el. paštas mail.tsinghua.edu.cn - Pagrindinis puslapis

Machine Learning Bayesian Methods Deep Generative Models Adversarial Robustness Reinforcement Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Boosting adversarial attacks with momentum Y Dong, F Liao, T Pang, H Su, J Zhu, X Hu, J Li CVPR (arXiv preprint arXiv:1710.06081, 2017), 2018	2441	2018
Defense against adversarial attacks using high-level representation guided denoiser F Liao, M Liang, Y Dong, T Pang, J Zhu, X Hu CVPR (arXiv preprint arXiv:1712.02976), 2018	847	2018
Spatio-temporal backpropagation for training high-performance spiking neural networks Y Wu, L Deng, G Li, J Zhu, L Shi Frontiers in neuroscience 12, 331, 2018	754	2018
Adversarial Attack on Graph Structured Data H Dai, H Li, T Tian, X Huang, L Wang, J Zhu, L Song ICML (arXiv preprint arXiv:1806.02371), 2018	694	2018
Evading defenses to transferable adversarial examples by translation-invariant attacks Y Dong, T Pang, H Su, J Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	667	2019
MedLDA: maximum margin supervised topic models for regression and classification J Zhu, A Ahmed, EP Xing Proceedings of the 26th annual international conference on machine learning …, 2009	544	2009
Towards Better Analysis of Deep Convolutional Neural Networks M Liu, J Shi, Z Li, C Li, J Zhu, S Liu IEEE Transactions on Visualization & Computer Graphics, 2016	536	2016
Stochastic Training of Graph Convolutional Networks J Chen, J Zhu ICML (arXiv preprint arXiv:1710.10568), 2018	515*	2018
Triple Generative Adversarial Nets C Li, K Xu, J Zhu, B Zhang NIPS (arXiv preprint arXiv:1703.02291), 2017	504	2017
Direct training for spiking neural networks: Faster, larger, better Y Wu, L Deng, G Li, J Zhu, Y Xie, L Shi Proceedings of the AAAI conference on artificial intelligence 33 (01), 1311-1318, 2019	492	2019
Dino: Detr with improved denoising anchor boxes for end-to-end object detection H Zhang, F Li, S Liu, L Zhang, H Su, J Zhu, LM Ni, HY Shum arXiv preprint arXiv:2203.03605, 2022	432	2022
Pre-trained models: Past, present and future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open 2, 225-250, 2021	417	2021
Explainable AI: A brief survey on history, research areas, approaches and challenges F Xu, H Uszkoreit, Y Du, W Fan, D Zhao, J Zhu Natural Language Processing and Chinese Computing: 8th CCF International …, 2019	414	2019
Towards better analysis of machine learning models: A visual analytics perspective S Liu, X Wang, M Liu, J Zhu Visual Informatics 1 (1), 48-56, 2017	395	2017
Statsnowball: a statistical approach to extracting entity relationships J Zhu, Z Nie, X Liu, B Zhang, JR Wen Proceedings of the 18th international conference on World wide web, 101-110, 2009	394	2009
Improving adversarial robustness via promoting ensemble diversity T Pang, K Xu, C Du, N Chen, J Zhu ICML (arXiv preprint arXiv:1901.08846), 2019	391	2019
Efficient decision-based black-box adversarial attacks on face recognition Y Dong, H Su, B Wu, Z Li, W Liu, T Zhang, J Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	369	2019
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu NeurIPS (arXiv preprint arXiv:2206.00927), 2022	318	2022
Adversarial attacks and defences competition A Kurakin, I Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ... The NIPS'17 Competition: Building Intelligent Systems, 195-231, 2018	315	2018
Dab-detr: Dynamic anchor boxes are better queries for detr S Liu, F Li, H Zhang, X Yang, X Qi, H Su, J Zhu, L Zhang arXiv preprint arXiv:2201.12329, 2022	304	2022

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